Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-09-03 11:12:48	ga_s2am_ard_3-2-1_52KFC_2015-09-03_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51KUB_2016-05-29_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JHM_2016-06-24_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_52KBA_2016-07-02_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JPL_2016-07-28_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51KXU_2016-08-04_final.stac-item
2016-10-27 11:09:33	ga_s2am_ard_3-2-1_51KZQ_2016-10-27_final.stac-item
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_50KRB_2016-11-15_final.stac-item
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_51KVT_2016-11-15_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50JKN_2016-12-28_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HLH_2017-02-16_final
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_51KVV_2017-04-14_final.stac-item
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KVP_2017-07-10_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51KXQ_2017-07-17_final
2017-10-09 11:02:09	ga_s2am_ard_3-2-1_52KHC_2017-10-09_final
2017-12-03 11:49:15	ga_s2am_ard_3-2-1_50KNC_2017-12-03_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50JLS_2018-02-11_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KWA_2018-02-25_final
2018-03-24 11:16:57	ga_s2am_ard_3-2-1_52KBC_2018-03-24_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_51KTT_2018-04-29_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51KVS_2018-05-09_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51HUC_2018-06-05_final
2018-09-30 11:16:55	ga_s2am_ard_3-2-1_51KYS_2018-09-30_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HMJ_2018-10-19_final
2018-11-15 11:42:54	ga_s2am_ard_3-2-1_51KUU_2018-11-15_final
2018-11-29 11:21:17	ga_s2am_ard_3-2-1_51LZE_2018-11-29_final
2018-12-03 11:06:09	ga_s2am_ard_3-2-1_52HDK_2018-12-03_final.stac-item
2018-12-24 12:13:47	ga_s2am_ard_3-2-1_49KHR_2018-12-24_final
2019-03-21 12:05:35	ga_s2am_ard_3-2-1_50JLP_2019-03-21_final
2019-03-31 12:05:01	ga_s2am_ard_3-2-1_49JGM_2019-03-31_final
2019-04-28 11:23:00	ga_s2am_ard_3-2-1_51KZU_2019-04-28_final
2019-05-04 11:42:49	ga_s2am_ard_3-2-1_51KUV_2019-05-04_final
2019-05-04 11:43:08	ga_s2am_ard_3-2-1_50KRD_2019-05-04_final
2019-05-22 11:02:58	ga_s2am_ard_3-2-1_52KHC_2019-05-22_final
2019-06-04 11:13:35	ga_s2am_ard_3-2-1_52KDA_2019-06-04_final
2019-06-04 11:14:10	ga_s2am_ard_3-2-1_52JET_2019-06-04_final
2019-06-09 12:05:58	ga_s2am_ard_3-2-1_50JKN_2019-06-09_final
2019-09-14 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2019-09-14_final
2019-10-28 11:36:46	ga_s2am_ard_3-2-1_51HUD_2019-10-28_final
2019-12-08 11:02:56	ga_s2am_ard_3-2-1_52KGC_2019-12-08_final
2019-12-09 12:14:56	ga_s2am_ard_3-2-1_49JFM_2019-12-09_final
2020-02-22 11:23:44	ga_s2am_ard_3-2-1_52KBV_2020-02-22_final
2020-02-24 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-02-24_final
2020-03-13 11:23:02	ga_s2am_ard_3-2-1_52KBC_2020-03-13_final
2020-03-20 11:15:18	ga_s2am_ard_3-2-1_52JBP_2020-03-20_final
2020-04-02 11:24:00	ga_s2am_ard_3-2-1_51KWQ_2020-04-02_final
2020-04-05 11:33:59	ga_s2am_ard_3-2-1_51KUQ_2020-04-05_final
2020-05-22 11:24:10	ga_s2am_ard_3-2-1_51KZP_2020-05-22_final
2020-05-29 11:14:03	ga_s2am_ard_3-2-1_52KEU_2020-05-29_final
2020-07-03 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-07-03_final
2020-07-08 11:13:12	ga_s2am_ard_3-2-1_52KCC_2020-07-08_final
2020-09-06 11:15:26	ga_s2am_ard_3-2-1_52JBP_2020-09-06_final
2020-09-26 11:13:42	ga_s2am_ard_3-2-1_52KCA_2020-09-26_final
2021-02-15 11:56:13	ga_s2am_ard_3-2-1_50JKM_2021-02-15_final
2021-02-19 11:34:28	ga_s2am_ard_3-2-1_51JVN_2021-02-19_final
2021-03-25 11:13:38	ga_s2am_ard_3-2-1_52KBA_2021-03-25_final
2021-03-28 11:26:56	ga_s2am_ard_3-2-1_51HVC_2021-03-28_final
2021-06-01 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-01_final
2021-08-02 11:16:09	ga_s2am_ard_3-2-1_52JBL_2021-08-02_final
2021-11-06 11:34:53	ga_s2am_ard_3-2-1_51JTM_2021-11-06_final
2021-11-06 11:36:30	ga_s2am_ard_3-2-1_50JPL_2021-11-06_final
2021-11-22 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-11-22_final
2021-12-20 11:13:37	ga_s2am_ard_3-2-1_52KCA_2021-12-20_final
2022-01-03 10:55:15	ga_s2am_ard_3-2-1_52JGP_2022-01-03_final
2022-01-05 11:31:40	ga_s2am_ard_3-2-1_51LYD_2022-01-05_final
2022-01-13 10:55:23	ga_s2am_ard_3-2-1_52JEP_2022-01-13_final
2022-01-15 11:34:11	ga_s2am_ard_3-2-1_51KWP_2022-01-15_final
2022-01-22 11:22:56	ga_s2am_ard_3-2-1_51KYU_2022-01-22_final
2022-03-20 11:13:33	ga_s2am_ard_3-2-1_52KEA_2022-03-20_final
2022-03-23 11:26:25	ga_s2am_ard_3-2-1_51HXE_2022-03-23_final
2022-03-23 11:26:50	ga_s2am_ard_3-2-1_51HUD_2022-03-23_final
2022-03-26 11:36:26	ga_s2am_ard_3-2-1_51HVE_2022-03-26_final
2022-04-03 10:55:29	ga_s2am_ard_3-2-1_52JGN_2022-04-03_final
2022-04-25 11:37:26	ga_s2am_ard_3-2-1_50HPG_2022-04-25_final.stac-item
2022-06-01 11:21:32	ga_s2am_ard_3-2-1_52LBK_2022-06-01_final
2022-08-06 11:45:22	ga_s2am_ard_3-2-1_50JNR_2022-08-06_final
2022-09-06 11:13:37	ga_s2am_ard_3-2-1_52KBB_2022-09-06_final.stac-item
2022-10-29 11:26:33	ga_s2am_ard_3-2-1_51HVE_2022-10-29_final.stac-item
2022-10-30 10:55:46	ga_s2am_ard_3-2-1_52JGM_2022-10-30_final.stac-item
2022-11-30 12:03:44	ga_s2am_ard_3-2-1_50KKB_2022-11-30_final.stac-item
2022-12-07 11:55:57	ga_s2am_ard_3-2-1_50JLN_2022-12-07_final.stac-item
2023-01-13 11:43:01	ga_s2am_ard_3-2-1_51KTU_2023-01-13_final.stac-item
2023-03-11 11:33:55	ga_s2am_ard_3-2-1_51KVQ_2023-03-11_final.stac-item
2023-04-07 11:23:13	ga_s2am_ard_3-2-1_51KXT_2023-04-07_final.stac-item
2023-05-20 11:33:50	ga_s2am_ard_3-2-1_51KUR_2023-05-20_final.stac-item
2023-06-29 11:34:09	ga_s2am_ard_3-2-1_51KXP_2023-06-29_final.stac-item
2023-07-02 11:43:05	ga_s2am_ard_3-2-1_51KUU_2023-07-02_final.stac-item
2023-07-02 11:43:48	ga_s2am_ard_3-2-1_51KUR_2023-07-02_final.stac-item
2023-07-19 11:33:02	ga_s2am_ard_3-2-1_51KWU_2023-07-19_final.stac-item
2023-07-20 11:03:26	ga_s2am_ard_3-2-1_52KHA_2023-07-20_final.stac-item
2023-08-08 11:34:19	ga_s2am_ard_3-2-1_51KVP_2023-08-08_final.stac-item
2023-10-16 12:04:41	ga_s2am_ard_3-2-1_49JHN_2023-10-16_final.stac-item
2023-12-13 11:23:02	ga_s2am_ard_3-2-1_51KZT_2023-12-13_final.stac-item
2024-02-13 12:04:40	ga_s2am_ard_3-2-1_50JKT_2024-02-13_final.stac-item
2024-02-18 11:13:37	ga_s2am_ard_3-2-1_52KBA_2024-02-18_final.stac-item
2024-02-27 11:41:58	ga_s2am_ard_3-2-1_51LVC_2024-02-27_final.stac-item
2024-03-11 11:53:21	ga_s2am_ard_3-2-1_50KPC_2024-03-11_final.stac-item
2024-03-16 11:02:37	ga_s2am_ard_3-2-1_52KGE_2024-03-16_final.stac-item
2024-03-29 11:13:30	ga_s2am_ard_3-2-1_52KEA_2024-03-29_final.stac-item
2024-04-04 11:32:44	ga_s2am_ard_3-2-1_51KVV_2024-04-04_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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